Characteristics and objectives
The program is aimed at shaping students highly skilled in the field of data management and statistical analysis with sound expertise both on technical and substantive side. Graduated students are able to apply statistical theories and techniques for collecting, analysing and summarizing information, in order to give interpretative models of data, identify solutions to adopt in all the sectors of service and goods production, and increase the scientific knowledge.
The program makes the student achieve a sound double learning core: one focused on applied mathematics and statistics, and the other focused on statistical methods and models with applications to several fields. On these cores, a specialistic formation is built, characterised by further methodological, computational, applied skills, with applications in business, social and demographic sciences, technology and biostatistics.

Occupational opportunities
AlmaLaurea survey on undergraduate students three years after degree achievement of 2011, reports that the unemployment rate of undergraduates in Statistics lower than average (2.2% vs. 8.8%), an employment rate higher than average (90% vs 86%), a proportion of those with a permanent job higher than average (70% vs 53%) and a monthly salary higher than average (1519 euros vs 1226).
Undergraduates are employed in several fields of production system, in public administration and research institutes. Other surveys show that many statisticians have fast advances in career as, since the beginning, their work is focused on data management and analysis.

Admission

Admission type

Open access with admission requirements

number of non-EU students resident abroad

20

of which Chinese ("Marco Polo" Programme)

2

Minimum number of pre-enrollments on which the activation of the Course of Study depends

Please note:
Here you can find the list of the course units provided for in your study
plan, in order of year.
Click on "A.Y. 2017/18 details" to see the details concerning the course
unit taught in A.Y. 2017/18.
Warning: there could be changes in the next Academic Years.
Is this link not available? It means that the course unit doesn't exist in
A.Y. 2017/18: it will be taught for the first time in the next Academic Years.